Linear Algebra and Its Applications (5th Edition)

Published by Pearson
ISBN 10: 032198238X
ISBN 13: 978-0-32198-238-4

Chapter 2 - Matrix Algebra - 2.1 Exercises - Page 103: 32

Answer

$I_{m}$ has $m$ columns, $I_{m}=[e_{1}\ e_{2}\ ...\ e_{n}]$, where $e_{i}\in \mathbb{R}^{m}$ has all zero entries, except the ith, which is 1. Using the definition of multiplication, $AB=A[\mathrm{b}_{1}\ \mathrm{b}_{2}\ ...\ \mathrm{b}_{p}]=[A\mathrm{b}_{1}\ A\mathrm{b}_{2}\ ...\ A\mathrm{b}_{p}]$ applied on $AI_{m}:$ $AI_{m}=A[e_{1}\ e_{2}\ ...\ e_{n}]=[Ae_{1}\ Ae_{2}\ ...\ Ae_{n}]$ $e_{i}$ has all zero entries, except the ith, which is 1. This is why $Ae_{i} =a_{i}$, the ith column in a (all column entries other than the ith are multiplied with 0) Therefore $AI_{m}=[a_{1}\ a_{2}\ ...\ a_{n}]=A$

Work Step by Step

The proof is the answer.
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